Hyperion turns drone video + telemetry into georeferenced findings.
Most systems stop at "AI saw a thing." Hyperion's output is a coordinate-backed dataset you can map, filter, and export.
Pipeline (concept)
Upload → detect → georeference → cluster → store → visualize → export.
Georeferencing engine
Timestamp sync + camera footprint + projection to compute coordinates per detection.
Spatial tooling
Clusters, heatmaps, zones, point-in-polygon, measurements.
Reporting & evidence
Mission summaries and evidence packets with timelines and thumbnails.
What Hyperion produces
Outputs for operational workflows—not just pretty visuals.
AI detections
Objects of interest identified with confidence scores and bounding boxes.
GPS coordinates per detection
Every finding anchored to real-world coordinates via georeferencing.
Searchable geospatial dataset
Map + filters for spatial queries, time ranges, and object classes.
Operational exports
CSV, GeoJSON, KML for GIS workflows. PDF evidence packets for reporting.
Hyperion outputs you can actually use.
Coordinate-backed findings for GIS workflows and operational reporting.